Adjust cWGAN-GP Augmentation

You have implemented a cWGAN-GP model that was originally trained on an unbalanced dataset, using data augmentation to balance the dataset. Now, you have a balanced dataset and want to adjust your existing training script accordingly. Modify your script so that it **does not perform data augmentation for balancing** purposes anymore. Instead, implement **default image augmentation** that **increases the number of samples** by applying transformations using the MONAI framework. Specifically, ensure your augmentation pipeline includes the following transformations with appropriate parameters: - Small random rotations (limited degree range) - Rotation along the y-axis - Gaussian noise addition - Contrast adjustment Update all relevant code cells or script sections that are affected by these changes. # Steps 1. Identify parts of your script where data augmentation was applied for balancing. Remove or disable any balancing-specific augmentation logic. 2. Implement a MONAI-based augmentation pipeline applying the four transformations above: - For rotations: apply small random rotations around relevant axes. - For rotation along the y axis, configure a spatial transform that achieves this. - Add Gaussian noise with moderate variance. - Adjust contrast slightly to augment image appearance. 3. Apply this augmentation pipeline as default to all images during data loading or training. 4. Adjust the dataset or dataloader code so that the augmented dataset size increases — meaning that augmentation creates additional synthetic samples beyond the original data count. 5. Test your updated script to verify the changes. # Output Format Provide the updated script or relevant code cells with MONAI augmentation integrated as specified, and comments clarifying changes made for the default augmentation pipeline. # Notes - Ensure compatibility with MONAI's transforms and pipeline conventions. - Maintain the original training logic aside from augmentation changes. - Keep augmentation parameters moderate to avoid unrealistic distortions. # Response Formats ## prompt {"prompt":"[The full clear instruction and code adjustments as detailed above]","name":"Adjust cWGAN-GP Augmentation","short_description":"Modify cWGAN-GP training script to replace balancing augmentations with default MONAI augmentations.","icon":"SparklesIcon","category":"programming","tags":["Machine Learning","Data Augmentation","MONAI","GAN"],"should_index":true}